Cover -- Competitive Intelligence and Decision Problems -- Title Page -- Copyright Page -- Table of Contents -- PART 1. MODELS AND TOOLS -- Chapter 1. Model Use: From a Decision-Making Problem to a Set of Research Problems -- 1.1. Introduction: why model? -- 1.2. General presentation of the Watcher Information Search Problem model -- 1.3. Dimensions and aspects of the model -- 1.4. Description of model elements -- 1.4.1. Elements describing the decision problem and its context -- 1.4.2. Chosen solutions and the final decision -- 1.4.3. Supporting elements of the information problem -- 1.4.4. Demand, stakes, and context -- 1.4.5. Information indicators -- 1.4.6. Elements of research problems -- 1.4.7. Analysis and presentation of results -- 1.4.8. Common parameters for all model elements -- 1.4.9. Knowledge building through annotation -- 1.5. Conclusion: toward flexibility in the model -- 1.6. Bibliography -- Chapter 2. Analytical Tools for Competitive Intelligence: from Data Collection to Data Processing -- 2.1. Introduction -- 2.2. Overview of the multidimensional analysis model -- 2.2.1. Information process -- 2.2.2. Process architecture -- 2.3. Application of the multidimensional analysis model -- 2.3.1. Preliminary data -- 2.3.2. Data visualization -- 2.4. Conclusion -- 2.5. Bibliography -- Chapter 3. The Synergy of Knowledge Management and Competitive Intelligence -- 3.1. Introduction -- 3.2. Theoretical context -- 3.2.1. Definitions of knowledge -- 3.2.2. Competitive intelligence -- 3.2.3. KM in CI -- 3.3. Knowledge acquisition strategy -- 3.3.1. Action-based knowledge acquisition -- 3.4. Formalization of knowledge -- 3.4.1. KC structure for CI projects -- 3.4.2. Architecture for KM in CI projects -- 3.5. Conclusion -- 3.6. Appendices.

3.6.1. Appendix A: knowledge acquisition based on actor activities -- 3.6.2. Appendix B: capitalization scenario in decision making -- 3.7. Bibliography -- Chapter 4. Collaborative Information Seeking in the Competitive Intelligence Process -- 4.1. Introduction -- 4.2. The CI process -- 4.3. From information retrieval to CIR -- 4.3.1. Information retrieval -- 4.3.2. Collaborative information behavior -- 4.3.3. CIS and retrieval -- 4.4. Facilitation and management of CIS -- 4.4.1. The conceptual framework -- 4.4.2. Communication model for CIS -- 4.4.3. Application context -- 4.5. Collective information seeking scenario -- 4.6. Conclusion -- 4.7. Bibliography -- Chapter 5. Study of Risk Factors in Competitive Intelligence Decision Making: A Cognitive Approach -- 5.1. Decision making and decision problems -- 5.1.1. Introduction -- 5.1.2. Fundamental aspects of the decision problem -- 5.1.3. Decision and cognitive capacity -- 5.1.4. Decisions in the context of CI -- 5.2. Risks and RFs in CI -- 5.2.1. Introduction -- 5.2.2. Actors and their interactions in CI -- 5.2.3. Risks and RFs -- 5.3. Cognitive capacity, a risk, and decision factor -- 5.3.1. Introduction -- 5.3.2. Cognitive capacity and its effects on decision making -- 5.3.3. Cognitive model of RFs -- 5.4. Conclusion -- 5.5. Bibliography -- Chapter 6. Multimedia Information Seeking Through Competitive Intelligence Process -- 6.1. Introduction -- 6.2. The two dimensions of CI: decisions and information -- 6.3. Multimedia information: between complexity and accessibility -- 6.4. The information seeking process: an overview of paradigmatic evolution -- 6.5. Actors involved in information seeking processes and problem solving -- 6.5.1. Terminology: the notion of the user -- 6.5.2. Terminology: the notion of use.

6.6. Applying a user-centered approach to facilitate multimedia information seeking -- 6.6.1. Multimedia information granulation to support multimedia information seeking processes -- 6.6.2. Integration of the representation of the user into the multimedia information retrieval process -- 6.7. Conclusion -- 6.8. Bibliography -- Chapter 7. Strategies for Analyzing Chinese Information Sources from a Competitive Intelligence Perspective -- 7.1. Introduction -- 7.2. Chinese scientific information as an essential source of information -- 7.3. A global vision of the sector through patent analysis -- 7.4. Chinese sources of scientific information -- 7.5. Automatic processing of information by bibliometrical analysis of metadata -- 7.5.1. Specificities of a Chinese-language corpus -- 7.5.2. Analysis and results -- 7.5.3. Validation and comparison -- 7.6. Conclusion -- 7.7. Bibliography -- Chapter 8. Generic Tagging Strategy Using a Semio-Contextual Approach to the Corpus for the Creation of Controlled Databases -- 8.1. Introduction -- 8.2. The adaptive journal concept -- 8.2.1. The notion of semantic tagging: selection of relevant information -- 8.2.2. Modeling knowledge: organizing relevant information -- 8.2.3. Recomposed documents: sorting and presenting relevant information -- 8.3. A generic tagging strategy: models using the ASCC -- 8.3.1. Categorizing meaning -- 8.3.2. The ASCC at the nano-level of information in an adaptive journal -- 8.3.3. ASCC at micro-level in an adaptive journal -- 8.3.4. ASCC for authors in an adaptive journal -- 8.3.5. ASCC at meso-level in an adaptive journal -- 8.3.6. ASCC at macro-level in an adaptive journal -- 8.4. Conclusion -- 8.5. Bibliography.

Chapter 9. Design and Development of a Model for Generating and Exploiting Annotation in the Context of Economic Intelligence -- 9.1. Introduction -- 9.2. Annotation as a concept -- 9.3. Annotation in EI -- 9.3.1. Annotation for knowledge elicitation -- 9.3.2. Annotation in information retrieval -- 9.3.3. Annotation as value-added information -- 9.3.4. Requirements for annotation model -- 9.4. Proposition -- 9.4.1. Annotation creation -- 9.4.2. Annotation exploitation -- 9.5. Annotation model and architectural components -- 9.5.1. Annotation schema -- 9.5.2. AMTEA architecture -- 9.6. Bibliography -- Chapter 10. Contribution of Cognitive Sciences to Document Indexing in Scientific, Technical, and Economic Watch for Competitive Intelligence -- 10.1. Introduction -- 10.2. Functionality of the PIETRA platform: general presentation -- 10.3. Global usage strategy -- 10.4. Operation of the platform -- 10.4.1. Watch profiles -- 10.4.2. The pivot language -- 10.4.3. Memory indexing -- 10.4.4. Validation -- 10.5. Elaborated databases -- 10.6. Conclusion -- 10.7. Bibliography -- PART 2. CI AND GOVERNANCE -- Chapter 11. Integration of Competitive Intelligence and Watch in an Academic Scientific Research Laboratory -- 11.1. Introduction -- 11.2. Existing structures in universities and research organizations -- 11.3. Research structures, research actors and evaluation in the context of CI integration -- 11.4. Clusters and their power of attraction -- 11.5. Strategic analysis units, a support for the development of laboratories and of CI -- 11.5.1. GICC UMR -- 11.5.2. The LSCC: strategic intelligence survey unit -- 11.6. Conclusion -- 11.7. Bibliography.

Chapter 12. E-Health and Societal and Territorial Intelligence in France: Collective Knowledge Production Issues and New Network Interface Organizations -- 12.1. Introduction -- 12.2. E-health, the convergence of health issues, and ICT -- 12.2.1. Compartmentalization and crisis in health systems -- 12.2.2. The development of e-health -- 12.2.3. Evolution of medical practice, computerization, and ICT use -- 12.3. Toward a new territorialization of healthcare management -- 12.3.1. Reorganization of the health system by regionalization -- 12.3.2. Affirmation of new organizations of innovative interfaces as sociotechnical forms, projects, and apparatus -- 12.4. E-health and CI: societal dimensions and territorial intelligence -- 12.4.1. E-health and CI -- 12.4.2. The convergence of societal and territorial intelligence: a global intelligence approach to complexity -- 12.5. Issues in the production of collective knowledge -- 12.5.1. Coordination: the complementarity of information and communication -- 12.5.2. Information needs for decision assistance and new tools -- 12.5.3. Evolution of professions and new professions -- 12.6. Shared information systems at regional level: a step toward societal and territorial information systems with a health component? -- 12.6.1. Issues in the construction of regionalized information systems -- 12.6.2. Societal and territorial intelligence and building trust between actors around sociotechnical systems -- 12.6.3. Collective knowledge production: the core of new governance in the health system -- 12.7. Conclusion -- 12.8. Bibliography -- Chapter 13. Governance and Short-Term Product Development in Clusters - An Example: The FIRE Application -- 13.1. Introduction -- 13.2. Considerations on the development of clusters.

13.3. Grievances of small businesses and industries.